I’m finding it a bit disheartening, even if is it just ai generated stuff then there is the worry that AI has learned this from somewhere.
The idea that you can test ideas and requirements from day one, where you can discover and detect defects even before a line of code is written or that we collaborate on risks throughout a project is somehow getting branded as something new, given a new name and being disguised as QA prevention in a lot of these posts, but worse it seems to have taken the posters nine or ten years to get there or its the most important thing they have learned. What exactly have they been doing?
It risks diminishing what testing should be all about but also seems to flag they have been doing something very different for a long time and that feeds into AI learning.
Anyone else seeing this trend, is it a case that they really are just discovering early testing or something else?
I saw a good discussion with designers on AI generated code, good accessibility practices are still relatively new and it was highlighted that a lot of the AI learning was done prior to these practices being standard.
Something to consider as an extra risk when testing, consider the learning source for the AI’s and whether it could be flawed or based on most common published practices which could be fundamentally lacking. Good exploratory testing for example often lacks enough training and real world learning examples compared to other models of testing or tool based testing, could this risk diminishing testing in general as those outliers get lost. Or in the case of testing and detecting issues at requirement stage just get recently discovered after 9 years of doing something else.
This of course might just be a highly biased rant disguised with some very valid points.